An open source machine learning library for performing regression tasks using RVM technique.
updated at Sept. 7, 2024, 4:28 p.m.
Rust library for Self Organising Maps (SOM).
updated at Sept. 5, 2024, 1:01 p.m.
Example code and materials that illustrate applications of SAS machine learning techniques.
updated at Sept. 5, 2024, 10:01 a.m.
Code related to session at PyCon Canada 2016
updated at Sept. 4, 2024, 5:26 p.m.
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
updated at Sept. 3, 2024, 7:28 a.m.
GPU-Accelerated Deep Learning Library in Python
updated at Sept. 3, 2024, 1:54 a.m.
TensorFlow C API Class Wrapper in Server Side Swift.
updated at Sept. 1, 2024, 9:17 p.m.
Julia package for loading many of the data sets available in R
updated at Aug. 31, 2024, 10:55 p.m.
Site for a Data Science class taught by Allen Downey
updated at Aug. 28, 2024, 2:30 p.m.
Fast multilayer perceptron neural network library for iOS and Mac OS X
updated at Aug. 27, 2024, 1:11 p.m.
IPython notebooks for EEG/MEG data processing using mne-python
updated at Aug. 26, 2024, 10:45 a.m.